R. v. Gomboc : Considering the Proper Role of the 'Biographic Core' in a Section 8 Informational Privacy Analysis
Bibliographic record
Abstract
In R. v. Gomboc, the Supreme Court of Canada considered whether the warrantless use of a digital recording ammeter by the police to measure electricity usage in a home ought to be seen as an illegal search and seizure within the meaning of s. 8 of the Charter of Rights and Freedoms. A majority of the Court in Gomboc adopted an approach to s. 8 that is overly dependent on the finding of a connection between the information over which the privacy interest is asserted and the ‘biographic core’ of an individual. The concept of the biographic core is better understood as merely one element amongst several that can assist in the analysis of whether an individual’s expectation of privacy in some information is objectively reasonable; it is not alone determinative. Gomboc serves to over-inflate its importance, removing it from the objective reasonableness step within the ‘totality of the circumstances’ test, and instead treating it as an initial threshold that the claimant must meet when claiming an informational privacy interest under s. 8. Requiring a connection between the information over which a privacy claim is being asserted and the biographic core of the individual asserting serves to improperly restrict the s. 8 protection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.014 | 0.025 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.017 | 0.016 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".